{Perception of the structure of the physical world using unknown multimodal sensors and effectors}
| Type of publication: | Inproceedings |
| Citation: | Philipona2003a |
| Booktitle: | Advances in Neural Information Processing Systems |
| Volume: | 16 |
| Year: | 2003 |
| Pages: | 945--952 |
| Publisher: | MIT Press |
| URL: | http://books.nips.cc/papers/fi... |
| Abstract: | Is there a way for an algorithm linked to an unknown body to infer by itself information about this body and the world it is in? Taking the case of space for example, is there a way for this algorithm to realize that its body is in a three dimensional world? Is it possible for this algorithm to discover how to move in a straight line? And more basically: do these questions make any sense at all given that the algorithm only has access to the very high-dimensional data consisting of its sensory inputs and motor outputs? We demonstrate in this article howthese questions can be given a positive answer. We show that it is possible to make an algorithm that, by ana- lyzing the law that links its motor outputs to its sensory inputs, discovers information about the structure of the world regardless of the devices constituting the body it is linked to. We present results from simulations demonstrating a way to issue motor orders resulting in âfundamentalâ movements of the body as regards the structure of the physical world. |
| Userfields: | bdsk-url-1={http://books.nips.cc/papers/files/nips16/NIPS2003%5C_CS06.pdf}, date-added={2012-09-23 10:50:23 +0200}, date-modified={2012-09-23 10:50:23 +0200}, file={:home/jim/Desktop/sortedLiterature/sensorimotor/Perception of the structure of the physical world using unknown multimodal sensors and effectors03.pdf:pdf}, project={fremdliteratur}, |
| Keywords: | Perception of Space, Sensorimotor |
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